Advanced purification protocols achieve exceptional specificity:
AffiniPure™ Technology: Protein A/G affinity chromatography removes non-IgG proteins
Cross-Adsorption: Secondary antibodies flow through columns containing immobilized serum proteins from non-target species, capturing cross-reactive elements
Validation: ≤5% cross-reactivity with non-mouse immunoglobulins in standardized ELISA
Alexa Fluor 647 conjugation provides distinct advantages:
In triple-labeling experiments using mouse monoclonal primary antibodies against distinct neuronal markers:
Demonstrated zero cross-talk with rabbit/chicken-derived primaries
Enabled simultaneous detection of synaptophysin, MAP2, and GFAP in fixed brain sections
Clinical studies involving PBMC analysis reported:
Super-resolution STORM imaging achieved:
Data from 37 commercial anti-mouse secondaries reveals:
Feature | Alexa Fluor 647 Donkey IgG | Conventional Donkey IgG | Goat-Derived Equivalents |
---|---|---|---|
Multiplex Compatibility | 100% (11/11 tested panels) | 63% | 58% |
Lot Consistency | CV ≤5% (n=15 lots) | CV 8-12% | CV 10-15% |
Recommended Dilution | 1:500-1:2000 | 1:200-1:1000 | 1:100-1:500 |
Alexa Fluor 647 AffiniPure Donkey Anti-Mouse IgG (H+L) is a secondary antibody generated using mouse IgG as the immunogen and subsequently conjugated to the Alexa Fluor 647 fluorescent dye . It functions by specifically binding to mouse IgG primary antibodies in immunoassay applications, allowing for the detection of target antigens. The antibody recognizes both the heavy and light chains (H+L) of mouse IgG, as well as the light chains of other mouse immunoglobulins . Based on immunoelectrophoresis and ELISA testing, this antibody reacts with the whole molecule of mouse IgG while showing minimal cross-reactivity with non-immunoglobulin serum proteins or immunoglobulins from other specified species .
Alexa Fluor 647 has distinct spectral characteristics that researchers must consider when designing experiments:
Property | Value | Implications for Research |
---|---|---|
Maximum Absorption | ~651 nm | Requires appropriate excitation source |
Maximum Emission | ~667 nm | Requires far-red detection capabilities |
Common Filter Set | 660/20 | Optimal for signal isolation |
Relative Brightness | High (5 on scale) | Excellent signal-to-noise ratio |
The far-red emission profile of Alexa Fluor 647 offers significant advantages in biological research, particularly the low autofluorescence of biological specimens in this spectral region . This property enhances signal-to-noise ratios and improves detection sensitivity for cellular and subcellular targets. When designing multicolor experiments, these spectral properties enable effective separation from fluorophores in the green and yellow-orange ranges .
This antibody is validated for numerous research applications across cellular and molecular biology:
Flow Cytometry: Provides excellent signal separation and brightness for quantitative analysis of cellular populations .
Immunofluorescence: Enables high-resolution imaging of cellular and subcellular targets in fixed samples .
Immunocytochemistry: Facilitates detection of antigens in cultured cells with superior signal-to-background ratio .
Immunohistochemistry: Supports both frozen and paraffin-embedded section analysis with minimal autofluorescence interference .
ELISA: Allows sensitive detection of antigen-antibody interactions in solution-based assays .
Confocal Microscopy: Particularly well-suited for multicolor detection due to its spectral properties and brightness .
Methodologically, the antibody performs optimally when used at dilutions of 1:100-1:800 for flow cytometry and histochemistry/cytochemistry applications, though optimal concentrations should be determined empirically for each application and experimental system .
The "MinX" designation in Alexa Fluor 647 AffiniPure Donkey Anti-Mouse IgG (H+L) indicates it has been adsorbed against multiple species to minimize cross-reactivity . Specifically, this antibody shows minimal cross-reactivity with bovine, chicken, goat, guinea pig, Syrian hamster, horse, human, rabbit, and sheep proteins . This high specificity reduces background signal in experiments where these species' proteins may be present.
Establishing optimal working conditions for Alexa Fluor 647 AffiniPure Donkey Anti-Mouse IgG (H+L) requires systematic titration and validation. While the manufacturer recommends dilutions of 1:100-1:800 for flow cytometry and histochemistry applications , the optimal concentration depends on:
Target abundance: Lower abundance targets may require higher antibody concentrations
Sample type: Different tissue types and fixation methods affect antibody penetration and binding
Incubation time and temperature: Longer incubations at lower temperatures often improve signal-to-noise ratios
Buffer composition: Addition of blocking proteins and detergents can reduce background staining
A methodological approach to optimization involves:
Parameter | Test Range | Assessment Method |
---|---|---|
Dilution Series | 1:50 to 1:1600 | Signal intensity quantification |
Incubation Time | 30 min to overnight | Signal-to-noise ratio comparison |
Temperature | 4°C, room temp, 37°C | Background vs. specific signal |
Buffer Additives | BSA (1-5%), Triton X-100 (0.1-0.5%) | Background reduction assessment |
The optimal protocol should yield maximum specific signal with minimal background staining, and these conditions should be validated for each experimental system and application .
Proper storage and handling of this antibody are critical for maintaining its immunoreactivity and fluorescence properties over time. The antibody is typically supplied as a lyophilized powder in a buffer containing 0.05% NaN3, 15 mg/ml BSA, and 250 mM NaCl in 10 mM PBS (pH 7.6) .
Storage recommendations:
Store lyophilized antibody at 2-8°C in the dark
After reconstitution, store in small aliquots at -20°C to avoid repeated freeze-thaw cycles
Protect from prolonged exposure to light to prevent photobleaching of the Alexa Fluor 647 dye
Use within the specified expiration date
Working with the antibody:
Allow solutions to equilibrate to room temperature before opening
Centrifuge briefly before opening to ensure all material is at the bottom of the tube
Prepare working dilutions on the day of use for optimal results
Minimize exposure to light during handling and incubation steps
Following these methodological guidelines helps preserve antibody functionality and fluorescence intensity, ensuring consistent experimental results over time.
Alexa Fluor 647 offers several advantages over alternative far-red fluorophores, which influences its selection for complex multicolor experiments:
Methodologically, Alexa Fluor 647 is particularly advantageous for:
Confocal microscopy applications requiring extended imaging periods, due to its superior photostability
Multicolor flow cytometry panels, where its brightness facilitates detection of low-abundance antigens
Studies involving tissue sections with high autofluorescence, as the far-red emission minimizes interference from endogenous fluorophores
Applications requiring cost-effective alternatives to allophycocyanin (APC) conjugates while maintaining similar detection sensitivity
When designing complex multicolor panels, Alexa Fluor 647's spectral profile allows effective combination with fluorophores in the blue, green, and yellow-orange ranges without significant spectral overlap concerns .
Detecting Alexa Fluor 647 requires specific instrumentation and configuration parameters for optimal results:
Confocal Microscopy Setup:
Excitation source: 633-647 nm laser line (optimal)
Detection range: 665-680 nm bandpass filter
Pinhole setting: 1-1.2 Airy units for optimal resolution/signal balance
Detector gain: Calibrated to maximize signal while avoiding saturation
Flow Cytometry Configuration:
Excitation laser: 633-640 nm
Detection filter: 660/20 bandpass
Compensation: Minimal when paired with fluorophores below 600 nm
Important methodological considerations:
Alexa Fluor 647 is not optimally visualized using conventional epifluorescence microscopes with mercury lamps due to insufficient excitation at required wavelengths
The dye cannot be well visualized by eye due to its far-red emission (667 nm), necessitating digital imaging systems
For optimal detection, confocal microscopes equipped with appropriate lasers and far-red detectors are recommended
In flow cytometry, Alexa Fluor 647 and APC-conjugated antibodies are interchangeable in most configurations, providing flexibility in panel design
These instrument-specific parameters ensure maximum signal detection sensitivity while minimizing background and cross-talk with other fluorophores in multicolor experiments.
Designing complex multi-labeling experiments with Alexa Fluor 647 AffiniPure Donkey Anti-Mouse IgG (H+L) requires careful consideration of primary antibody combinations, fluorophore selection, and experimental workflow:
Strategic Experimental Design Approach:
Primary Antibody Selection:
Choose mouse-origin primary antibodies for targets to be visualized with Alexa Fluor 647
Select primary antibodies from different host species (rabbit, goat, etc.) for other targets
Consider using isotype-specific secondary antibodies when multiple mouse primaries are needed
Complementary Fluorophore Selection:
Pair Alexa Fluor 647 with fluorophores having minimal spectral overlap:
Alexa Fluor 488 (Ex/Em: 496/519 nm)
Alexa Fluor 555 (Ex/Em: 555/565 nm)
Alexa Fluor 594 (Ex/Em: 590/617 nm)
Sequential Staining Protocol:
For highly sensitive multi-labeling experiments, a sequential approach may be optimal:
Apply first primary antibody, wash thoroughly
Apply corresponding secondary antibody (e.g., Alexa Fluor 647 anti-mouse), wash thoroughly
Block remaining mouse epitopes with excess unconjugated anti-mouse IgG
Proceed with additional primary-secondary antibody pairs
This methodological approach minimizes cross-reactivity and ensures accurate multi-target visualization . When properly implemented, this strategy allows for precise localization of multiple cellular components with minimal false co-localization artifacts.
Researchers may encounter several challenges when working with Alexa Fluor 647 AffiniPure Donkey Anti-Mouse IgG (H+L). Here are systematic approaches to identifying and resolving these issues:
Issue | Possible Causes | Methodological Solutions |
---|---|---|
Weak signal | Insufficient primary antibody, Over-diluted secondary antibody, Low antigen abundance | Titrate antibodies, Increase incubation time, Enhance signal with tyramide amplification |
High background | Insufficient blocking, Non-specific binding, Autofluorescence | Optimize blocking (5% BSA/serum), Include 0.1-0.3% Triton X-100, Use Sudan Black (0.1-0.3%) to reduce autofluorescence |
Photobleaching | Excessive exposure to excitation light, Improper mounting medium | Use anti-fade mounting media, Minimize exposure during imaging, Image at lower laser power with longer integration |
Poor visualization | Inappropriate microscope configuration, Unsuitable filter sets | Use confocal microscopy with 633-647nm laser, Ensure detector covers 660-680nm range |
When troubleshooting experiments with this antibody, a systematic approach involves:
Testing positive and negative controls to verify antibody functionality
Performing serial dilutions to determine optimal concentration
Comparing different blocking reagents to minimize background
Evaluating alternative fixation methods if antigen accessibility is compromised
These methodological adjustments should be documented and evaluated quantitatively to establish reproducible protocols for specific experimental systems .
Validating the specificity of Alexa Fluor 647 AffiniPure Donkey Anti-Mouse IgG (H+L) staining is critical for generating reliable research data. A comprehensive validation approach includes:
Essential Validation Controls:
Negative Controls:
Secondary antibody-only control (omit primary antibody)
Isotype control (irrelevant mouse IgG primary + Alexa Fluor 647 secondary)
Blocking peptide competition (pre-incubate primary with excess target peptide)
Positive Controls:
Known positive samples with established expression patterns
Comparison with alternative detection methods (Western blot, qPCR)
Parallel staining with alternative antibody against same target
Specificity Tests:
Signal ablation following target knockdown (siRNA/shRNA)
Absence of signal in knockout models
Co-localization with alternative markers of the same structure/protein
Cross-Reactivity Assessment:
Test staining in tissues/cells known to lack the target
Evaluate signal in samples from different species
Compare staining pattern with published literature
Methodologically, researchers should document all validation steps, quantify signal-to-background ratios, and establish clear criteria for distinguishing specific from non-specific staining. This rigorous approach ensures that experimental observations reflect true biological phenomena rather than technical artifacts .
Maximizing signal-to-noise ratio with Alexa Fluor 647 AffiniPure Donkey Anti-Mouse IgG (H+L) in challenging samples requires advanced methodological approaches:
Signal Enhancement Strategies:
Antigen Retrieval Optimization:
Test multiple retrieval methods (heat-induced vs. enzymatic)
Optimize retrieval buffer composition (citrate pH 6.0 vs. EDTA pH 9.0)
Determine optimal retrieval duration for specific tissues
Signal Amplification Techniques:
Tyramide signal amplification (10-50× signal enhancement)
Multilayer detection systems (biotin-streptavidin)
Sequential application of multiple secondary antibodies
Background Reduction Methods:
Extended blocking (overnight at 4°C with 5-10% serum/BSA)
Use of specialized blocking reagents (Mouse-on-Mouse blocking for mouse tissues)
Pre-adsorption of secondary antibody with tissue powder from relevant species
Autofluorescence Management:
Sudan Black B treatment (0.1-0.3% in 70% ethanol)
Copper sulfate incubation (1-10mM CuSO₄ in 50mM ammonium acetate)
Photobleaching pre-treatment (exposure to strong light before antibody application)
Protocol Modifications for Specific Sample Types:
Sample Type | Challenge | Methodological Adjustment |
---|---|---|
Formalin-fixed tissue | Cross-linking masks epitopes | Extended antigen retrieval, higher antibody concentration |
High-autofluorescence tissue | Background interference | Sudan Black treatment, spectral unmixing during analysis |
Highly lipid-rich tissue | Non-specific binding | Include 0.2-0.5% Triton X-100, extend wash steps |
Chitinous/calcified samples | Poor penetration | Extended permeabilization, increased incubation times |
These methodological refinements should be systematically tested and optimized for each specific sample type and target, with quantitative assessment of signal-to-noise ratios to guide protocol development .
Alexa Fluor 647 has become particularly valuable in super-resolution microscopy applications due to its photophysical properties. In techniques like Stochastic Optical Reconstruction Microscopy (STORM) and direct Stochastic Optical Reconstruction Microscopy (dSTORM), Alexa Fluor 647 exhibits favorable photoswitching behavior in appropriate buffer systems, enabling localization precisions of approximately 10-20 nm . The photostability of Alexa Fluor 647 also makes it suitable for Stimulated Emission Depletion (STED) microscopy, where its resistance to photobleaching allows for repeated depletion cycles.
Methodologically, researchers implementing super-resolution techniques with this antibody should:
Use higher concentrations of primary and secondary antibodies to ensure adequate labeling density
Prepare specialized imaging buffers containing oxygen scavenging systems and thiol compounds for STORM/dSTORM
Optimize fixation to minimize structural alterations at the nanoscale level
Consider using smaller probes (such as nanobodies) conjugated to Alexa Fluor 647 for improved spatial resolution
These adaptations help maximize the resolution-enhancing capabilities of Alexa Fluor 647 in advanced microscopy applications, enabling visualization of subcellular structures below the diffraction limit .
Recent methodological advances have expanded the applications of Alexa Fluor 647-conjugated secondary antibodies in several research domains:
Multiplexed Imaging Techniques:
New cyclical immunofluorescence methods allow for sequential staining, imaging, and antibody elution/removal, enabling visualization of >40 targets in the same sample using a limited set of fluorophores including Alexa Fluor 647.
Correlative Light and Electron Microscopy (CLEM):
Protocols combining Alexa Fluor 647 immunofluorescence with electron microscopy enable researchers to correlate fluorescence patterns with ultrastructural features at nanometer resolution.
Intravital Imaging Applications:
Optimized Alexa Fluor 647 conjugates with enhanced tissue penetration properties have enabled deep tissue imaging in live animal models with reduced phototoxicity.
Quantitative Approaches:
Development of calibration standards and analysis algorithms has improved quantitative assessment of protein expression levels using Alexa Fluor 647 fluorescence intensity.
These advances represent the cutting edge of immunofluorescence methodology and illustrate how Alexa Fluor 647 AffiniPure Donkey Anti-Mouse IgG (H+L) continues to serve as a valuable tool in advancing biological research .
Transitioning from single-cell to tissue-level imaging with Alexa Fluor 647 AffiniPure Donkey Anti-Mouse IgG (H+L) requires several methodological adaptations:
Protocol Modifications for Tissue Imaging:
Sample Preparation Adjustments:
Optimize fixation duration based on tissue thickness (longer for thicker sections)
Implement extended permeabilization steps (24-48 hours for dense tissues)
Consider vibratome sectioning for improved antibody penetration in thick specimens
Antibody Concentration and Incubation:
Increase antibody concentration by 2-3 fold compared to cell culture applications
Extend incubation times (24-72 hours at 4°C for thick sections)
Consider using specialized tissue penetration enhancers
Imaging Parameter Adaptations:
Implement optical clearing techniques compatible with Alexa Fluor 647 (CUBIC, CLARITY)
Utilize confocal z-stacking with appropriate step sizes for 3D reconstruction
Adjust laser power to balance tissue penetration with photobleaching concerns
Signal Validation Approaches:
Compare staining patterns between thick sections and thin serial sections
Validate with alternative visualization methods (e.g., chromogenic IHC)
Implement computational approaches to correct for depth-dependent signal attenuation